---
title: Hyperparameters Reporting
---

The [hyper_parameters.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/hyper_parameters.py) example 
script demonstrates: 
* **ClearML**'s automatic logging of `argparse` command line options and TensorFlow Definitions
* Logging user-defined hyperparameters with a parameter dictionary and connecting the dictionary to a Task. 

Hyperparameters appear in the **web UI** in the experiment's page, under **CONFIGURATIONS** **>** **HYPER PARAMETERS**. 
Each type is in its own subsection. Parameters from older experiments are grouped together with the ``argparse`` command 
line options (in the **Args** subsection).

When the script runs, it creates an experiment named `hyper-parameters example`, which is associated with the `examples` project.

## argparse command line options

If a code uses argparse and initializes a Task, **ClearML** automatically logs the argparse arguments.

    parser = ArgumentParser()
    parser.add_argument('--argparser_int_value', help='integer value', type=int, default=1)
    parser.add_argument('--argparser_disabled', action='store_true', default=False, help='disables something')
    parser.add_argument('--argparser_str_value', help='string value', default='a string')
    
    args = parser.parse_args()

Command line options appears in **HYPER PARAMETERS** **>** **Args**.

![image](../../img/examples_reporting_hyper_param_01.png)

## TensorFlow Definitions

**ClearML** automatically logs TensorFlow Definitions, whether they are defined before or after the Task is initialized.

    flags.DEFINE_string('echo', None, 'Text to echo.')
    flags.DEFINE_string('another_str', 'My string', 'A string', module_name='test')

    task = Task.init(project_name='examples', task_name='hyper-parameters example')
    
    flags.DEFINE_integer('echo3', 3, 'Text to echo.')
    
    flags.DEFINE_string('echo5', '5', 'Text to echo.', module_name='test')

TensorFlow Definitions appear in **HYPER PARAMETERS** **>** **TF_DEFINE**.

![image](../../img/examples_reporting_hyper_param_03.png)

## Parameter dictionaries

Connect a parameter dictionary to a Task by calling the [Task.connect](../../references/sdk/task.md#connect)
method, and **ClearML** logs the parameters. **ClearML** also tracks changes to the parameters.

    parameters = {
        'list': [1, 2, 3],
        'dict': {'a': 1, 'b': 2},
        'tuple': (1, 2, 3),
        'int': 3,
        'float': 2.2,
        'string': 'my string',
    }
    
    parameters = task.connect(parameters)
    
    # adding new parameter after connect (will be logged as well)
    parameters['new_param'] = 'this is new'
    
    # changing the value of a parameter (new value will be stored instead of previous one)
    parameters['float'] = '9.9'

Parameters from dictionaries connected to Tasks appear in **HYPER PARAMETERS** **>** **General**.

![image](../../img/examples_reporting_hyper_param_02.png)